CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

基于景感生态理念的历史街区场所营造智能化路径

Intelligent Place Creation for Historical Blocks Based on the Theory of Landsenses Ecology

  • 摘要:
    目的  历史街区场所营造的智能化路径分析,对于提升历史街区的空间体验品质,创造融合历史韵味和现代便利的宜居环境具有重要意义。
    方法  以景感生态理念为指导,运用物联网技术、大数据等智能化方法进行场所营造的智能化路径探索。
    结果  在梳理景感生态学核心理论与研究框架的基础上,从本底环境要素信息和人的感知信息2个方面总结了历史街区景感营造的主要内容和过程框架。探讨了从数据获取、数据分析、愿景构建到模型构建的景感营造全过程的智能化路径。
    结论  探索景感生态理念在历史街区场所营造中的应用,是实现历史街区空间体验品质提升以及智能化管理的有效路径,能够为智能化管理提供理论方法和技术支持,并为其他类似场所的智能化发展提供有益参考。

     

    Abstract:
    Objective  At present, the absence of the sense of place in historical blocks is still prominent, which is mainly caused by such problems as deficiency of cultural heritage and homogeneity of block function in different conservation and development models. Thus, based on the landsenses ecology theory, this research aims to provide theoretical method and technical reference for improving the space experience quality and intelligent management of historical blocks.
    Methods  Landsenses ecology serves as the theoretical foundation of this research. Compared with landscape ecology, landsenses ecology is more concerned with the process of landscape perception and experience. It emphasizes the study of “human-oriented” use, planning, construction and management of land from the aspects of natural factor, physical perception, psychological cognition, social economy, process and risk, so as to realize sustainable development. The conceiving process of “landsenses creation” may be described as follows: The landsenses creation designer of a place comprehensively analyses various data related to human perception, such as physical perception and psychological cognition, based on which he/she builds an ecological model in line with the spatial or regional properties of the place. The construction of historical blocks is a process of continuous improvement of urban ecological system, which entails integrating social, economic, cultural, political, ecological and other factors to create a high-quality living environment to meet people’s needs of better landscape perception experience. This is consistent with the idea advocated by landsenses ecology that the dynamic equilibrium between urban landsenses ecology elements and the ever-increasing needs of urban residents should be promoted.
    Results  Based on the concept of landsenses ecology, the research suggests that the landsenses creation for historical blocks be based on the analysis of the basic information and data about such blocks and the cities in which they are located, such as natural factors (landform, climate, resources, hydrology, light and heat environment, etc.), social economy and cultural background. Landsenses creation should focus on people’s perception of ecological environment, including physical perception and psychological cognition. Therefore, on the basis of sorting out the theoretical core and research framework of landsenses ecology, the research discusses the main contents of landsenses creation for historical blocks, and initially constructs a framework for integrating landsenses ecology information into historic blocks. First of all, the basic data and landsenses data about historic blocks, including such background information as natural environment, cultural background and social economy, as well as the information about the perception of such subjects as residents and tourists on historic blocks, can be fully obtained through collecting data through the internet of things (IoT) and the Internet and utilizing interdisciplinary technical approaches. Then, according to the feedback of data analysis, planners may integrate the vision of residents and tourists with landsenses carriers of historic blocks so as to enhance their spatial experience and feeling of involvement, and arouse their emotional resonance. Finally, in the process of landsenses creation, people’s needs and values are constantly changing along with social economy, urban development and other factors, accompanied by the constant feedback of data, thereby realizing the goal of improving landsenses.
    Conclusion  This research proposes an intelligent process of landsenses creation from data acquisition, data analysis, vision construction to quality improvement of landsenses ecosystem. Firstly, obtain information about the current status of a historic block and about the perception of residents and tourists on the historical block based on the IoT data, big data and open data collected. As the main way to acquire and analyze landsenses information and data, IoT is composed of three layers: the perception layer for data collection, the network layer for data transmission and the application layer for data processing and analysis. Secondly, transfer data to the database in real time by a high-speed network. The information analysis system in the database can efficiently process and analyze the data received, and complete such tasks as real-time environmental monitoring, environmental information visualization and analysis modeling. Furthermore, use typical research methods from such disciplines as humanities, sociology and psychology to assist the analysis of different subjects’ perception experience and vision construction with respect to historic blocks. Cultural gene is the smallest research unit that may affect people’s perception experience, which can help reveal the relationship between the interaction of multi-dimensional perception and the sense of place in historical blocks, and subsequently create vision and landsenses. It is advised to use intelligent methods such as crawling online photos and machine learning technology to classify and simplify the identification steps of cultural genes of historical districts. Such methods can also help obtain the evaluation opinions on cultural genes of historical districts from different subjects based on semantic text analysis from the Internet. Meanwhile, the comparison between the construction level of different historical blocks from the perspective of space can indirectly reflect the development trend of a historical block from the temporal dimension, which may serve as a reference for the optimization of the construction model of a historical block.

     

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